【摘要】 传统的Web服务物流数据库安全访问控制采用身份认证、密码等方式,对于普通的数据库非法访问具有一定的防范作用,但对于高伪装性的非法访问防护效果很差。提出一种DCE融合粒子群评价指导的Web物流数据库安全访问方法,采用DCE方法对访问者的身份做初步认证,在此基础上,通过粒子群算法,对访问者输入的验证信息进行处理,与实际数据库中存储的信息进行比对,最终识别非法访问。采用一组伪装的非法访问进行测试,结果显示,采用基于DCE融合粒子群评价指导的方法,系统的非法访问识别率提高了19%,具有很好的应用价值。更多还原

【Abstract】 In traditional Web services logistics database security access control method, the authentication, password, etc.methods were used, and it had some effect to prevent unauthorized access to a certain role, but for high-camouflaged illegal access, the protection effect was poor. So the logistics database security access of web service with evaluation guidance of DCE fusion PSO was proposed, the DCE identity of visitors was used firstly to do the initial certification, on this basis,through the particle swarm algorithm, the authentication information was processed, and it was compared with the actual in.formation stored in the database, then the final identification of illegal access was allowed. A group of disguised illegal access was sued to do the test experiment, and the result shows that with evaluation guidance of DCE fusion PSO, the illegal access recognition rate increases by 19%, it has good application value.更多还原